dad887/DAD

Layered Design Dataset

Two layered-graphic-design subsets, ~100k samples each, sharing the same file layout and annotation schema.

subset	source	samples	layers / sample	size
element_replaced/	designs created by replacing elements with stylistically and semantically similar ones retrieved from a 12M-element pool	100,683	11.6	~33 GB
chartgalaxy/	infographics from ChartGalaxy [Li et al., 2025] with original layered representations	99,983	64.3	~30 GB

File layout

Both subsets share the same structure:

<subset>/
├── annotations.jsonl                       # one JSON record per sample
└── samples/
    └── <primary_key>/
        ├── image.webp                      # full composited render
        ├── bg.webp                         # background-only render (chartgalaxy only)
        ├── layer_000.webp                  # RGBA per-element layer, z=0 (bottom)
        ├── layer_001.webp
        └── ...

Annotation schema (annotations.jsonl, one JSON object per line)

{
  "image":       "samples/<primary_key>/image.webp",
  "primary_key": "<id>",
  "page_index":  0,
  "width":       1024,
  "height":      1536,
  "boxes":       [[x0, y0, x1, y1], ...],   // pixel xyxy, one per layer
  "types":       ["visual" | "text", ...],  // aligned with boxes
  "layer_files": ["layer_000.webp", ...],   // aligned with boxes
  "source":      "<subset tag>"
}

boxes[i], types[i], layer_files[i] are aligned by index. bg.webp (when present) is not listed in layer_files.

Loading

import json
from PIL import Image
from pathlib import Path

ROOT = Path("layered_design_dataset/element_replaced")  # or chartgalaxy
records = [json.loads(l) for l in (ROOT / "annotations.jsonl").open()]

r = records[0]
img    = Image.open(ROOT / r["image"])
layers = [Image.open(ROOT / "samples" / r["primary_key"] / lf)
          for lf in r["layer_files"]]
boxes  = r["boxes"]
types  = r["types"]